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Stance Classification

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Showing 51–75 of 101 papers

TitleStatusHype
Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning—0
Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model—0
SCRum-9: Multilingual Stance Classification over Rumours on Social Media—0
Scrutable Feature Sets for Stance Classification—0
SINAI-DL at SemEval-2019 Task 7: Data Augmentation and Temporal Expressions—0
Stance and Sentiment in Tweets—0
Stance Classification in Online Debates by Recognizing Users' Intentions—0
Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations—0
Stance Classification of Context-Dependent Claims—0
Stance Classification of Ideological Debates: Data, Models, Features, and Constraints—0
Stance Classification, Outcome Prediction, and Impact Assessment: NLP Tasks for Studying Group Decision-Making—0
Stance Classification using Dialogic Properties of Persuasion—0
Stance-In-Depth Deep Neural Approach to Stance Classification—0
Stanceosaurus 2.0: Classifying Stance Towards Russian and Spanish Misinformation—0
TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble—0
Topic Ontologies for Arguments—0
TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore—0
A Benchmark for Cross-Domain Argumentative Stance Classification on Social Media—0
Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations—0
UPV-28-UNITO at SemEval-2019 Task 7: Exploiting Post's Nesting and Syntax Information for Rumor Stance Classification—0
USDC: A Dataset of User Stance and Dogmatism in Long Conversations—0
Using Author Embeddings to Improve Tweet Stance Classification—0
Using Gaussian Processes for Rumour Stance Classification in Social Media—0
UTCNN: a Deep Learning Model of Stance Classification on Social Media Text—0
Weakly Supervised Tweet Stance Classification by Relational Bootstrapping—0
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